Skip to main content

Mobile Robot Velocity Estimation Using a Regular Polygonal Array of Optical Flow Sensors

  • Conference paper

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2))

Abstract

This paper presents the velocity estimation of a mobile robot using a regular polygonal array of optical flow sensors that are installed at the bottom of a mobile robot. First, the basic principle of the proposed localization scheme is described, which is motivated from the changing optical flow sensor readings according to the mobile robot traveling pattern. Second, the velocity kinematic mapping from a mobile robot to an array of optical flow sensors is derived as an overdetermined linear system. Third, for a given set of optical flow sensor readings, the mobile robot velocity is estimated based on the least squares solution to the derived system. Finally, simulation results are given to demonstrate the validity of the proposed velocity estimation.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Borenstein, J., Everett, H.R., Feng, L.: “Where Am I?”: Sensors and Methods for Mobile Robot Positioning. The University of Michigan (1996)

    Google Scholar 

  2. O’Hara, K.: An Inexpensive Positioning Device for Educational Robotics. Dept. Computer Science Eng., Rowan University (2001)

    Google Scholar 

  3. Sorensen, D.K., Smukala, V., Ovinis, M., Lee, S.: On-Line Optical Flow Feedback for Mobile Robot Localization/Navigation. In: Proc. IEEE Int. Conf. Intelligent Robots and Systems, pp. 1246–1251. IEEE Computer Society Press, Los Alamitos (2003)

    Google Scholar 

  4. Bonarini, A., Matteucci, M., Restelli, M.: A Kinematic-Independent Dead-Reckoning Sensor for Indoor Mobile Robotics. In: Proc. IEEE Int. Conf. Intelligent Robots and Systems, pp. 3750–3755. IEEE Computer Society Press, Los Alamitos (2004)

    Google Scholar 

  5. Bonarini, A., Matteucci, M., Restelli, M.: Automatic Error Detection and Reduction for An Odometric Sensor Based on Two Optical Mice. In: Proc. IEEE Int. Conf. Robotics and Automation, pp. 1687–1692. IEEE Computer Society Press, Los Alamitos (2005)

    Google Scholar 

  6. Singh, S.P.N., Waldron, K.J.: Design and Evaluation of An Integrated Planar Localization Method for Desktop Robotics. In: Proc. IEEE Int. Conf. Robotics and Automation, pp. 1109–1114. IEEE Computer Society Press, Los Alamitos (2004)

    Google Scholar 

  7. Horn, B.K.P., Schunck, B.G.: Determining Optical Flow. Artificial Intelligence 16(1-3), 185–203 (1981)

    Article  Google Scholar 

  8. Alden, M.: Agilent Technologies Ships 100 Million Optical Mouse Sensor. EE Times (December 17, 2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

De-Shuang Huang Laurent Heutte Marco Loog

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, S., Jeong, I., Lee, S. (2007). Mobile Robot Velocity Estimation Using a Regular Polygonal Array of Optical Flow Sensors. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_72

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74282-1_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74281-4

  • Online ISBN: 978-3-540-74282-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics